磁共振AIR-魔毯线圈在胸椎结核扫描中的应用价值

目的探讨联合应用AIR-魔毯线圈磁共振成像(MRI)对胸椎结核扫描图像信噪比(signal to noise ratio,SNR)、对比噪声比(contrast to noise ratio,CNR)和脂肪抑制成像效果的价值。方法选取我院80例经手术病理证实为胸椎结核患者,按1:1随机分为两组,应用常规线圈(脊柱相控阵线圈,头颈联合线圈)、常规线圈联合AIR魔毯线圈对两组患者分别进行扫描。扫描序列包括胸椎矢状位T_(2)WI,T_(1)WI,T_(2)FLEX,进一步测量、比较SNR,CNR及脂肪抑制效果,分析MRI多序列诊断胸腰椎结核的准确率、特异度和灵敏度。结果常规线圈联合AIR-魔毯线圈扫描组,胸椎矢状位图像的SNR、CNR及压脂效果优于常规线圈组。结论联合应用AIR-魔毯线圈的图像SNR、CNR得到提高,脂肪抑制效果稳定良好。

Transient Air-Fuel Ratio Control in a CNG Engine Using Fuzzy Neural Networks

The fuzzy neural networks has been used as means of precisely controlling the air-fuel ratio of a lean-burn compressed natural gas (CNG) engine. A control algorithm, without based on engine model, has been (utilized) to construct a feedforward/feedback control scheme to regulate the air-fuel ratio. Using fuzzy neural networks, a fuzzy neural hybrid controller is obtained based on PI controller. The new controller, which can adjust parameters online, has been tested in transient air-fuel ratio control of a CNG engine.

Effects of total pressures and equivalence ratios on kerosene/air rotating detonation engines using a paralleling CE/SE method

In this paper,the kerosene/air rotating detonation engines(RDE)are numerically investigated,and the emphasis is laid on the effects of total pressures and equivalence ratios on the operation characteristics of RDE including the initiation,instabilities,and propulsive performance.A hybrid MPI t OpenMP parallel computing model is applied and it is proved to be able to obtain a more effective parallel performance on high performance computing(HPC)systems.A series of cases with the total pressure of 1 MPa,1.5 MPa,2 MPa,and the equivalence ratio of 0.9,1,1.4 are simulated.On one hand,the total pressure shows a significant impact on the instabilities of rotating detonation waves.The instability phenomenon is observed in cases with low total pressure(1 MPa)and weakened with the increase of the total pressure.The total pressure has a small impact on the detonation wave velocity and the specific impulse.On the other hand,the equivalence ratio shows a negligible influence on the instabilities,while it affects the ignition process and accounts for the detonation velocity deficit.It is more difficult to initiate rotating detonation waves directly in the lean fuel operation condition.Little difference was observed in the thrust with different equivalence ratios of 0.9,1,and 1.4.The highest specific impulse was obtained in the lean fuel cases,which is around 2700 s.The findings could provide insights into the understanding of the operation characteristics of kerosene/air RDE.

Liquid penetration of freeze-drying and air-drying wood of plantation Chinese fir

A comparative study was conducted on liquid penetration of the freeze-drying and air-drying sapwood and heartwood lumber of plantation Chinese fir （Cunninghamia lanceolata）. The maximum amount of dyeing solution uptake by the capillary rise method was used to evaluate the liquid penetration properties of the treated wood. The pit aspiration ratio was determined by semithin section method. Changes in wood microstructure were investigated using scanning electron microscopy. The results showed that compared with air drying, the freeze drying had a significant effect on liquid penetration of sapwood and heartwood of Chinese fir. The liquid penetration of sapwood is significantly higher than that of the heartwood for both drying treatments. Low pit aspiration ratio and cracks of pits membrane of some bordered pits are the main reasons for increasing liquid penetration after freeze drying treatment.

Development and experimental validation of a one-dimensional dynamic hygrothermal modeling based on air humidity ratio

A modified one-dimensional transient hygrothermal model for multilayer wall was proposed using air humidity ratio and temperature as the driving potentials.The solution for the governing equations was obtained numerically by implementing the finite-difference scheme.To evaluate the accuracy of the model,a test system was built up to measure relative humidity and temperature within a porous wall and compare with the prediction of the model.The prediction results have good agreement with the experimental results.For the interface close to indoor side,the maximum deviation of temperature between calculated and test data is 1.87 K,and the average deviation is 0.95 K;the maximum deviation of relative humidity is 11.4%,and the average deviation is 5.7%.For the interface close to outdoor side,the maximum deviation of temperature between prediction and measurement is 1.78 K,and the average deviation is 1.1 K;the maximum deviation of relative humidity is 9.9%,and the average deviation is 4.2%.

The Effect of Mass Ratio and Air Damper Characteristics on the Resonant Response of an Air Damped Dynamic Vibration Absorber

In this paper, it is shown that, a road vehicle 2DOF air damped quartercar suspension system can conveniently be transformed into a 2DOF air damped vibrating system representing an air damped dynamic vibration absorber (DVA) with an appropriate change in the ratio μ of the main mass and the absorber mass i.e. when mass ratio μ >> 1. Also the effect of variation of the mass ratio, air damping ratio and air spring rate ratio, on the motion transmissibility at the resonant frequency of the main mass of the DVA has been dis- cussed. It is shown that, as the air damping ratio in the absorber system increases, there is a substantial decrease in the motion transmissibility of the main mass system where the air damper has been modeled as a Maxwell type. Optimal value of the air damping ratio for the minimum motion transmissibility of the main mass of the system has been determined. An experimental setup has been designed and developed with a control system to vary air pressure in the damper in the absorber system. The motion transmissibility characteristics of the main mass system have been obtained, and the optimal value of the air damping ratio has been determined for minimum motion transmissibility of the main mass of the

Air flow control based on optimal oxygen excess ratio in fuel cells for vehicles

Air flow control is one of the most important control methods for maintaining the stability and reliability of a fuel cell system, which can avoid oxygen starvation or oxygen saturation. The oxygen excess ratio （OER） is often used to indicate the air flow condition. Based on a fuel cell system model for vehicles, OER performance was analyzed for different stack currents and temperatures in this paper, and the results show that the optimal OER was affected weakly by the stack temperature. In order to ensure the system working in optimal OER, a control scheme that includes an optimal OER regulator and a fuzzy control was proposed. According to the stack current, a reference value of air flow rate was obtained with the optimal OER regulator and then the air compressor motor voltage was controlled with the fuzzy controller to adjust the air flow rate provided by the air compressor. Simulation results show that the control method has good dynamic and static characteristics.

Effects of Free-air CO2 Enrichment on Root Characteristics and C:N Ratio of Rice at the Heading Stage

A hydroponics experiment was conducted to investigate the rice root growth in FACE （free-air carbon dioxide enrichment）. The root biomass, root volume, ratio of root/shoot, number of adventitious roots and root diameter significantly increased under FACE conditions, while the CO2 enrichment decreased the N concentration in rice roots without any change in the C content, leading to an increase in root C：N ratio. Moreover, the elevated CO2 resulted in a remarkable decrease of root activity, expressed as per unit root dry weight, which might be responsible for decreased N concentration in roots.

Adaptive Air-Fuel Ratio Control with MLP Network

This paper presents an application of adaptive neural network model-based predictive control (MPC) to the air-fuel ratio of an engine simulation. A multi-layer perceptron (MLP) neural network is trained using two on-line training algorithms: a back propagation algorithm and a recursive least squares (RLS) algorithm. It is used to model parameter uncertainties in the nonlinear dynamics of internal combustion (IC) engines. Based on the adaptive model, an MPC strategy for controlling air-fuel ratio is realized, and its control performance compared with that of a traditional PI controller. A reduced Hessian method, a newly developed sequential quadratic programming (SQP) method for solving nonlinear programming (NLP) problems, is implemented to speed up nonlinear optimization in the MPC. Keywords Air-fuel ratio control - IC engine - adaptive neural networks - nonlinear programming - model predictive control Shi-Wei Wang PhD student, Liverpool John Moores University; MSc in Control Systems, University of Sheffield, 2003; BEng in Automatic Technology, Jilin University, 2000; Current research interests automotive engine control, model predictive control, sliding mode control, neural networks.Ding-Li Yu obtained B.Eng from Harbin Civil Engineering College, Harbin, China in 1981, M.Sc from Jilin University of Technology, Changchun, China in 1986 and PhD from Coventry University, U.K. in 1995, all in control engineering. He is currently a Reader in Process Control at Liverpool John Moores University, U.K. His current research interests are in process control, engine control, fault detection and adaptive neural nets. He is a member of SAFEPROCESS TC in IFAC and an associate editor of the IJMIC and the IJISS.

Artificial neural network techniques to predict the moisture ratio content during hot air drying and vacuum drying of Radix isatidis extract

Background:To predict the moisture ratio of Radix isatidis extract during drying.Methods:Artificial neural networks were designed using the MATLAB neural network toolbox to produce a moisture ratio prediction model of Radix isatidis extract during hot air drying and vacuum drying,where regression values and mean squared error were used as evaluation indexes to optimize the number of hidden layer nodes and determine the topological structure of artificial neural networks model.In addition,the drying curves for the different drying parameters were analyzed.Results:The optimal topological structure of the moisture ratio prediction model for hot air drying and vacuum drying of Radix isatidis extract were“4-9-1”and“5-9-1”respectively,and the regression values between the predicted value and the experimental value is close to 1.This indicates that it has a high prediction accuracy.The moisture ratio gradually decreases with an increase in the drying time,reducing the loading,initial moisture content,increasing the temperature,and pressure can shorten the drying time and improve the drying efficiency.Conclusion:Artificial neural networks technology has the advantages of rapid and accurate prediction,and can provide a theoretical basis and technical support for online prediction during the drying process of the extract.

Study on the Environmental Quality Guarantee Ratio on the Basis of Total Air Pollutant Emission Amount Control

The hourly and daily air quality concentration in the total air pollutant emission amount control zone is not sure to be continuously up to national ambient air quality standard, even though the total annual air pollutant emission is permitted under the total air pollutant emission amount control (TAPEAC) on the basis of A-value method. So the concept of the environmental quality guarantee ratio (EQGR) for TAPEAC is advanced in this paper and its quantitative formula is figured out for both hourly and daily EQGR. It is concluded that the EQGR is related with the yearly arrangement of A-value besides the pollutant type. According to the meteorological data in a lower area along Yangtze River in 2000, the yearly A-value trend is analyzed. Based on the data, the hourly EQGR of SO 2 and NO 2 is respectively 97.4% and 90.2%, and daily EQGR respectively 90.2% and 79.5%.

Investigation of the Effects of a Large Percentage of Dried Sludge on the Operation of a Coal-Fired Boiler

A 600 MW coal-fired boiler with a four-corner tangential combustion mode is considered here to study the combustion features and pollutant emissions at different loads for large-percentages of blending dried sludges.The influence of the over-fired air(OFA)coefficient is examined and the impact of the blending ratio on the boiler operation is explored.The results show that for low blending ratios,a slight increase in the blending ratio can improve the combustion of bituminite,whereas a further increase leads to the deterioration of the combustion of blended fuels and thus reduces the boiler efficiency.Enhancing the supporting capability of the secondary air effectively reduces the slagging degree in the bottom ash hopper and improves the burnout rate of coals.For a large-percentage blending case at full load,it is found that the OFA coefficient must be reduced appropriately,otherwise,a secondary high-temperature combustion zone can be generated in the vicinity of the furnace arches,causing high temperature slagging and superheater tube bursting.Considering the influences of combustion and pollutant emissions,the recommended OFA coefficient is 0.2.Blending dried sludge under low loads increases the flue gas temperature at the furnace exit.While reducing the flue gas temperature in the main combustion region,which is beneficial to the safe operation of the denitrification system.Increasing the blending ratio and reducing load lead to an increase in NOx concentration at the furnace exit Sludges with low nitrogen content are suggested for the practical operation of boilers.

污水曝氧工艺技术研究

大庆油田聚驱用聚合物常使用含聚污水进行调配,但含聚污水中存在大量S^(2-)、Fe^(2+)等离子,会对聚合物分子产生严重的降解作用,造成稀释母液时降低溶液黏度,影响驱油效果。为有效清除溶液中还原性离子含量,可采用曝氧工艺对含聚污水进行处理。通过实验,将曝氧气头换为盘式曝氧器,重新设计工艺流程,可提高曝氧效率,节约能耗。盘式曝氧工艺在气水比5∶1,曝氧时间3~6 h条件下,污水溶氧量达到5 mg/L以上,配制黏度提高7.6%以上,能有效降低含聚采出水中的还原性物质含量,聚合物溶液稳定性大幅提升,保证聚驱稀释用水溶氧值满足开发效果。

车用稀燃增压单一燃料CNG发动机电控系统的研究

为深入研究 CNG发动机稀薄燃烧特性 ,进一步降低天然气发动机的有害排放 ,设计了车用增压天然气发动机电控系统。该系统采用高能点火模块来获得天然气着火所需的点火能量 ,电控喷射单元采用模糊控制器来获得比较精确的空燃比控制 ,实现对天然气发动机的顺序多点喷射。运用该系统对增压单一燃料 CNG发动机的燃烧和排放性能进行了试验研究 ,结果表明了该系统的有效性。

HCNG发动机掺氢比选择试验研究

在东风EQD210—20天然气发动机上改变ECU中的空燃比和点火提前角等控制参数进行了HCNG燃烧试验。选择不同的掺氢比,进行排放和空燃比特性试验,比较发动机排放和动力性的变化,并采用四工况试验来综合评价发动机燃烧15%,20%,25%和30%4种体积掺氢比HCNG燃料的排放性和动力性。发动机燃烧20%体积掺氢比的HCNG燃料具有较好的综合性能,在保持动力性变化不大的情况下,有着较好的排放性能。

家用空调器产品监督检验中常见不合格项目解析

制冷量、制冷消耗功率、全年能源消耗效率(APF)和制冷季节能源消耗效率(SEER)、接地措施、连续骚扰(端子电压)这五个项目是家用空气调节器产品在监督检验中常见的不合格项目,本文通过列举具体案例,从标准要求和实测数据等方面,重点分析了导致不合格产生的客观及主观原因,并给出了相应的整改方案,为企业提升认识、完善设计、加强质控、规范制造提供了有效的改进建议,助力企业生产出符合国家标准要求的合格产品。

CNG发动机燃烧室形状对气流运动和燃烧特性的影响

为提高天然气发动机的燃烧品质,基于6105型涡轮增压CNG发动机,通过建模分析法,对发动机不同燃烧室形状对缸内气流运动和燃烧特性的影响进行了三维数值模拟研究。研究结果表明,燃烧室形状对挤流的形成和燃烧过程有着重要影响。缩口型燃烧室具有较大的挤流强度和较长的涡流持续期,火焰传播速度快,燃烧性能好,但其火花塞附近的热负荷较大,NOx的含量高。敞口型燃烧室挤流强度较弱,火焰传播速度较慢,燃烧性能最差。直口型燃烧室则介于两者之间,既能保证较快的火焰传播速度和较好的燃烧性能,又降低了其火花塞附近的热负荷和NOx的排放量,是较适合天然气发动机采用的燃烧室。

湿空气含湿量对燃气轮机透平叶片复合冷却性能影响的实验与数值研究

为了探究以湿空气作为冷却介质时透平叶片冷却的复合冷却性能,结合实验和数值方法探究了湿空气含湿量对透平叶片湿空气冷却性能的影响。以GE-E 3叶型为基础,建立了带有冲击冷却、U型带肋通道冷却、柱肋冷却、尾缘劈缝以及气膜冷却结构的复合冷却透平叶片。测量了不同冷气与主流质量流量比条件下,采用不同湿空气含湿量的湿空气作为冷却工质时50%叶高处叶片表面温度分布。实验结果表明,在不同的主流温度下,增加湿空气含湿量均能降低叶片表面温度。在主流进口温度分别为473、873 K条件下,采用含湿量分别为163.0、173.8 g/kg的湿空气作为冷却工质时,相较于17 g/kg的湿空气冷却工况,叶片表面冷却效率分别提高了9%~11%和7%~9%,叶片表面温度分别降低了4.1~5.2 K和19.0~21.3 K。数值研究结果表明:带γ-θ转捩模型的SST k-ω模型能够更为准确地预测湿空气冷却时的叶片表面的温度分布;湿空气含湿量的增加能够整体提高叶片表面冷却效率,叶片表面冷却效率的变化在气膜覆盖区域更为显著。

基于GT-Power对HCNG发动机的数值模拟

为了对HCNG发动机进行更系统理论的研究,运用模拟软件GT-Power建立YC6J天然气掺氢发动机的仿真模型.仿真数据与原机外特性试验结果对比的误差在5%以内,证明该模型具有较高的准确性.然后通过该仿真模型,进行过量空气系数和点火提前角与燃用不同掺氢比例的HCNG关系的模拟研究.研究结果表明,HCNG掺氢比越大,所对应的最佳点火提前角越小,同时着火极限越宽;在较小的点火提前角或者较大的过量空气系数时,掺氢HCNG能有效地提高热效率,降低燃料消耗;HCNG发动机的NOx排放相比CNG虽有所增加,但可通过减少点火提前角或增大过量空气系数降低NOx排放.同时针对模拟工况,确定最佳的点火提前角和过量空气系数,为HCNG发动机的开发标定,起到理论指导作用.

CNG发动机燃烧过程的CFD模拟计算

应用AVL-FIRE软件对某CNG发动机建立工作过程的计算模型,并对燃烧过程进行数值模拟,通过改变模型中的过量空气系数和点火提前角等工作参数对该机性能的影响进行分析,从而为发动机的参数优化匹配提供方向性指导。